Skip to Main Content

Job Title


Staff Machine Learning Engineer - Integrations & Solutions Group (AU remote)


Company : Canva


Location : Melbourne, Victoria


Created : 2026-03-22


Job Type : Full Time


Job Description

Staff Machine Learning Engineer - Integrations & Solutions Group (AU remote) Full-time Recruitment type: Permanent Join the team redefining how the world experiences design. Thanks for stopping by. We know job hunting can be a little time consuming and youre probably keen to find out whats on offer, so well get straight to the point. Where and how you can work Our flagship campus is in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ. You have flexibility in how and where you work whether thats from one of our spaces, from home, or a mix of both. This role is remotefriendly within Australia , so you can choose the setup that empowers you and your team to do your best work. About the team We aim to build the worlds richest Ecosystem of apps for visual design and communications that supercharge Canvas ability to meet the diverse needs of a billion users and drive Canvas MAU growth. With the proliferation of innovations in generative AI and as large organizations have increasingly complex workflows to manage their designs, Canva is well poised to become the platform that simplifies access and discovery of services related to visual design. We are already working with hundreds of developers to enable access to these exciting products with our Apps SDK and Canva public REST API! As one of the groups in Ecosystem, the Integrations and Solutions Group builds Canva''s AI integration layer the infrastructure that connects Canvas design capabilities to the worlds leading AI assistants. Our teams own the MCP platform, AIoptimised tools and APIs, evaluation frameworks, and the agent architecture that powers millions of AIdriven design interactions. We work directly with partners like OpenAI, Anthropic, and Google, and were in the middle of a strategic shift from protocolfirst integrations toward intelligent, Canvahosted design agents. As a Staff Machine Learning Engineer, youll play a critical role in defining how AI platforms experience Canva driving the technical standards, evaluation frameworks, and architectural decisions that ensure our integrations are reliable, measurable, and evolving with a rapidly changing ecosystem. What youd be doing in this role As Canva scales change continues to be part of our DNA. But we like to think thats all part of the fun. So this will give you the flavour of the type of things youll be working on when you start, but this will likely evolve. At the moment, this role is focused on: Drive the design and evolution of AIready tools and APIs that enable LLM platforms (ChatGPT, Claude, Gemini and others) to reliably interact with Canvas design capabilities defining the patterns and standards that other teams adopt for tool descriptions, payload structures, and intentbased interfaces. Pioneer agenttoagent communication approaches. Own and evolve evaluation frameworks that systematically measure tooluse accuracy across platforms defining what good looks like for proxybased fast evals and realclient production evals, and ensuring these frameworks scale as we add platforms and capabilities. Shape Canvas agent architecture making strategic technical decisions about where intelligence should live (in external LLMs vs Canvahosted agents), building the orchestration layers that allow thirdparty providers to invoke Canvas design tools at scale, and driving automation of complex workflows like marketing campaigns. Define and build observability systems that give multiple teams visibility into how AI assistants consume Canvas tools in production identifying failure patterns, setting quality benchmarks, and closing the loop between production data and continuous improvement. Work across team and platform boundaries proactively identifying problems not yet defined, understanding behavioural quirks across LLM platforms, and driving solutions that span the AI Integrations, API Capabilities, and Workflow Integrations teams. Influence integration strategy with AI partners and internal teams contributing to technical direction with OpenAI, Anthropic, and Google, and shaping how Canvas broader engineering organisation builds for AI consumption. You''re probably a match if Youve shipped LLMpowered systems into production and can quantify your impact things like improving toolcall accuracy from X% to Y%, reducing agent error rates, cutting latency by Z%, or measurably improving user outcomes through better AI integration. We care about results, not just launches. You proactively find and solve problems others havent defined yet youve identified gaps in how LLMs consume tools or APIs, scoped the problem across teams, and driven the fix without waiting for someone to hand you a brief. Youve built or owned evaluation pipelines endtoend designing metrics, building benchmarking infrastructure, and using data to make architectural decisions about AI integrations at scale. You set technical standards that others follow whether thats tool design patterns, API contracts for AI agents, documentation quality, or observability practices. Your work becomes the reference point. You can connect external ecosystem changes to internal strategy when a new LLM capability drops or a partner shifts their architecture, you can quickly assess the implications for Canva and reprioritise accordingly. Youre proficient in Python and familiar with ML frameworks, and equally comfortable working with TypeScript/Node.js and cloud infrastructure (Cloudflare Workers, AWS, or similar). You thrive in crossteam, partnerfacing work influencing engineering, product, and external AI platform teams to shape integration strategy. Youre comfortable operating across team boundaries without formal authority. Youre energised by ambiguity and pace the AI ecosystem is evolving rapidly, and you bring clarity and momentum rather than waiting for direction. Dont tick all the boxes? Dont worry about that - nobody does! Wed still love to hear from you! At Canva, we know that great engineers come from a variety of backgrounds, and we value passion, curiosity, and a willingness to learn just as much as specific experience. If youre excited about this role but dont tick every box, we encourage you to apply, you might a great fit in ways you didnt expect! What''s in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a stack of benefits to set you up for every success in and outside of work. Heres a taste of whats on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. #J-18808-Ljbffr